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Ruiming Lu I am a final-year PhD student in Computer Science from >Shanghai Jiao Tong University, advised by Professor Guangtao Xue and Professor Minglu Li. I obtained my B.S. degree in Electrical and Computer Engineering (ECE) in 2020 from UM-SJTU Joint Institute. In 2023-2024, I spent a wonderful year as a visiting PhD student at OrderLab, University of Michigan, Ann Arbor, hosted by Prof. Ryan Huang. I am now working with Jilong Xue at Microsoft Research Asia, addressing reliability issues in LLM training systems. Email / CV / Google Scholar / Github |
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ResearchMy current research focuses on the reliability aspect of modern data centers. I work towards analyzing the failure characteristics of massively-deployed storage devices (e.g., NVMe SSD), understanding novel failure modes (e.g., the fail-slow failure), and designing practical fault-tolerant systems. |
Selected Publications (See full publication list) |
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One-Size-Fits-None: Understanding and Enhancing Slow-Fault Tolerance in Modern Distributed Systems
Ruiming Lu, Yunchi Lu, Yuxuan Jiang, Guangtao Xue, Peng Huang NSDI 2025 [Preprint] [Software] |
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Perseus: A Fail-Slow Detection Framework for Cloud Storage Systems
Ruiming Lu*, Erci Xu*, Yiming Zhang, Fengyi Zhu, Zhaosheng Zhu, Mengtian Wang, Zongpeng Zhu, Guangtao Xue, Jiwu Shu, Minglu Li, Jiesheng Wu (*Co-first) FAST 2023 (Best Paper Award, Inivited to Appear in USENIX ;login:, Fast-tracked to ToS) [PDF] [Slides] [Video] [Dataset] Press [AliCloud] [CitiNews] |
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NVMe SSD Failures in the Field: the Fail-Stop and the Fail-Slow
Ruiming Lu*, Erci Xu*, Yiming Zhang, Zhaosheng Zhu, Mengtian Wang, Zongpeng Zhu, Guangtao Xue, Minglu Li, Jiesheng Wu (*Co-first) ATC 2022 [PDF] [Slides] [Video] [Dataset] Press [ChinaSys] [Shanghai Computer Association - Storage] |
Professional Service |